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Found 1,425 Skills
Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing DevTest Labs VMs, images/artifacts, ARM/CLI automation, RBAC/Key Vault security, or hub-spoke lab setups, and other Azure DevTest Labs related development tasks. Not for Azure Dev Box (use azure-dev-box), Azure Lab Services (use azure-lab-services), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
Set up and use the Syncfusion Blazor Smart Paste Button — AI-powered clipboard-to-form filling with OpenAI, Azure OpenAI, Ollama, or custom AI backends. Covers NuGet setup, service configuration, field annotations, button customization, and troubleshooting.
Prepare, publish, and automate releases for npm packages, especially scoped packages that need package.json fixes, publish scripts, npm dry-run checks, `.env`-managed `NPM_TOKEN` handling, npm org token setup, GitHub Actions secrets, semantic-release workflows, npmjs.org publishing, GitHub Packages publishing, GitHub Releases, or release troubleshooting. Use when Codex needs to make a repo publish-ready, verify what npm will ship, configure automated publishing, or diagnose failures involving package contents, registry auth, 2FA, tokens, tags, changelogs, GitHub Actions, or semantic-release.
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and FastMCP Cloud deployment. Prevents 30+ errors. Use when: creating MCP servers, or troubleshooting module-level server, storage, lifespan, middleware, OAuth, background tasks, or FastAPI mount errors.
Build semantic search with Cloudflare Vectorize V2. Covers async mutations, 5M vectors/index, 31ms latency, returnMetadata enum changes, and V1 deprecation. Prevents 14 errors including dimension mismatches, TypeScript types, testing setup. Use when: building RAG or semantic search, troubleshooting returnMetadata, V2 timing, metadata index, dimension errors, vitest setup, or wrangler --json output.
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, rate limiters, or troubleshooting environment variables, serialization errors, rate limit issues, scanIterator hangs, or Next.js cache stale reads.
AWS CloudFormation infrastructure as code for stack management. Use when writing templates, deploying stacks, managing drift, troubleshooting deployments, or organizing infrastructure with nested stacks.
Expert guidance for Zigbee2MQTT development and configuration. Use when working with zigbee2mqtt codebase, configuration files (configuration.yaml, devices.yaml, groups.yaml), device converters, MQTT topic/payload design, or troubleshooting Zigbee device integration. Triggers on tasks involving Zigbee-to-MQTT bridge setup, device pairing workflows, converter development, and Home Assistant integration.
Systematically debug issues, investigating bugs, troubleshooting problems, or tracking down errors with persistent state across context resets. Triggers include "debug", "investigate bug", "troubleshoot", "find the problem", "why isn't this working", and "debug session".
Android device control and UI automation via ADB using a TypeScript helper CLI. Use for device/emulator discovery, USB or Wi-Fi connection, app launch/force-stop, tap/swipe/keyevent/text input, screenshots, APK install handling, device reset for app, and ADB troubleshooting. Use with ai-vision for screenshot-based UI recognition and coordinate decisions.
Generate analytics reports from Olakai data using CLI commands. AUTO-INVOKE when user wants: usage summaries, KPI trends, risk analysis, ROI reports, efficiency metrics, agent comparisons, token usage reports, cost analysis, compliance reports, or any analytics without using the web dashboard. TRIGGER KEYWORDS: olakai, analytics, reports, usage summary, KPI trends, risk analysis, ROI, efficiency, agent comparison, token usage, cost analysis, metrics report, dashboard data, CLI analytics, terminal report, compliance, usage report, event summary, performance metrics, AI usage stats. DO NOT load for: setting up monitoring (use olakai-add-monitoring), troubleshooting (use olakai-troubleshoot), or creating new agents (use olakai-create-agent).
Build MCP servers in Python with FastMCP. Workflow: define tools and resources, build server, test locally, deploy to FastMCP Cloud or Docker. Use when creating MCP servers, exposing tools/resources/prompts to LLMs, building Claude integrations, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.